Industry solution · 5 vector + 3 raster workflows

GeoPilot for Agriculture

Parcel-level command areas, irrigation networks, and farm portfolio analytics on vector data.

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Agriculture

The challenge

Agronomists, irrigation departments, and agritech platforms need fast answers on parcel boundaries, command areas, and asset coverage — without waiting for a remote-sensing pipeline. Heavy NDVI and classification work moves to desktop.

Web · vector workflows

Run these in plain English

Drop your shapefiles, GeoJSON, or GeoPackage into the workspace and ask. No install, free forever tier, results in seconds.

1

Command Area Delineation

From a canal head or pump location, delineate command-area boundaries using vector parcel data.

› Delineate the command area for canal head CH-12 and total irrigable acreage by village

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2

Soil & Cadastre Joins

Join soil-survey polygons with cadastre to recommend optimal crops per parcel.

› Join soil polygons with the cadastre and label each parcel with recommended crop

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3

Cold-Storage Coverage

Buffer cold storage and mandi locations to find parcels outside the post-harvest catchment.

› Show parcels more than 25km from the nearest cold storage, ranked by cropped area

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4

Farm Portfolio Roll-Up

Aggregate per-parcel attributes into block, district, or organization-level dashboards.

› Roll up sown area, crop type, and irrigation source by district from the parcel layer

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5

Insurance Geofencing

Validate that insured parcels fall inside the declared block or village polygon for fraud checks.

› Flag insured parcels whose centroid falls outside the declared revenue village

Try this prompt
Supported on the web:.shp.geojson.kml.gpkg.csv.parquet.dxf.kmz

Desktop · raster image processing

Heavy pixels? Run them locally.

The desktop app runs Python on your machine — no timeouts, no upload limits, works air-gapped. Request access to get the build that fits your OS and use case.

NDVI & Crop Health

Process Sentinel-2 / Landsat / drone multispectral stacks to produce NDVI, EVI, and crop-stress maps.

inMultispectral imagery
outNDVI raster + per-parcel stats

Crop Type Classification

Run supervised classification on satellite time-series to map crop type at parcel resolution.

inSentinel-2 time series + samples
outCrop class raster

Yield Prediction

Train regression models linking NDVI / soil-moisture rasters to historical yield data.

inNDVI + yield records
outPer-parcel yield estimate
Supported on the desktop:.tif.tiff.img.asc.las.laz.nc.h5

One workspace

Same chat, same project, two engines.

Start in the browser. Move to desktop when the dataset gets heavy. Projects sync — no re-importing, no re-prompting.

1 · Ask in the workspace

Describe the analysis. GeoPilot picks ops, runs them, returns map + data + report.

2 · Vector? Done in the browser.

Buffers, joins, network analysis, choropleths — finishes in seconds, every plan.

3 · Raster? Switch to desktop.

Same chat continues against local Python. No timeouts, no upload caps.

Ready to ship agriculture workflows?

Free vector tier. Desktop by request — tell us your OS, dataset size, and sensor type and we'll get back within one business day.

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